{"title":"Selection of Ocean Container Carrier: An Analytic Network Process (ANP) Approach","authors":"Ayfer Ergin, Güler Alkan","doi":"10.4274/jems.2023.96977","DOIUrl":"https://doi.org/10.4274/jems.2023.96977","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135131288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hasan Öztürk, KADIR BEYTULLLAH GÜNDÜZ, Yasemin ARIKAN OZDEN
In this study, the maneuvering forces and moments of the DARPA Suboff submarine model were determined under static drift condition using computational fluid dynamics (CFD) methods. Two different configurations of the submarine model namely; the AFF-3 configuration, which consists of bare hull and four stern rudders, and the fully appended configuration AFF-8, which is formed from bare hull, sail, and four stern rudders, have been used. Initially, for the AFF-3 configuration, a mesh independence study has been conducted. Three different cases; coarse, medium and fine meshes are investigated at small angles (0-2-4-6 degrees). After that the results have been verified, the medium mesh structure has been selected and the analyzes have been continued for larger angles (from 00 to 180 degrees). The accuracy of the obtained results was assessed by comparing them with non-dimensional experimental results. The comparison between the CFD results and the experimental results demonstrated a high level of agreement, indicating the effectiveness and accuracy of the CFD methods used in this study. After the validation studies, the maneuvering forces and moments of the AFF-8 fully appended configuration were calculated for which no prior experimental data existed in the literature. To achieve this, steady-state CFD simulations were performed using the commercial software ANSYS Fluent, and the results were presented for the same flow angles.
{"title":"Numerical Investigation of the Maneuvering Forces of Different DARPA Suboff Configurations for Static Drift Condition","authors":"Hasan Öztürk, KADIR BEYTULLLAH GÜNDÜZ, Yasemin ARIKAN OZDEN","doi":"10.4274/jems.2023.18942","DOIUrl":"https://doi.org/10.4274/jems.2023.18942","url":null,"abstract":"In this study, the maneuvering forces and moments of the DARPA Suboff submarine model were determined under static drift condition using computational fluid dynamics (CFD) methods. Two different configurations of the submarine model namely; the AFF-3 configuration, which consists of bare hull and four stern rudders, and the fully appended configuration AFF-8, which is formed from bare hull, sail, and four stern rudders, have been used. Initially, for the AFF-3 configuration, a mesh independence study has been conducted. Three different cases; coarse, medium and fine meshes are investigated at small angles (0-2-4-6 degrees). After that the results have been verified, the medium mesh structure has been selected and the analyzes have been continued for larger angles (from 00 to 180 degrees). The accuracy of the obtained results was assessed by comparing them with non-dimensional experimental results. The comparison between the CFD results and the experimental results demonstrated a high level of agreement, indicating the effectiveness and accuracy of the CFD methods used in this study. After the validation studies, the maneuvering forces and moments of the AFF-8 fully appended configuration were calculated for which no prior experimental data existed in the literature. To achieve this, steady-state CFD simulations were performed using the commercial software ANSYS Fluent, and the results were presented for the same flow angles.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135131294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikolay Sinyavsky, Oksana Synashenko, Natalia Kostrikova
This work is a preliminary dielectric relaxation time distribution analysis of several fresh and used marine engine oils that have not previously been examined for degradation with relaxation time distribution. The correlation of the distribution of relaxation times with other characteristics of oils, particularly the content of additives and wear products
{"title":"Application of relaxation times distribution of dielectric permittivity for marine engine oils analysis","authors":"Nikolay Sinyavsky, Oksana Synashenko, Natalia Kostrikova","doi":"10.4274/jems.2023.48568","DOIUrl":"https://doi.org/10.4274/jems.2023.48568","url":null,"abstract":"This work is a preliminary dielectric relaxation time distribution analysis of several fresh and used marine engine oils that have not previously been examined for degradation with relaxation time distribution. The correlation of the distribution of relaxation times with other characteristics of oils, particularly the content of additives and wear products","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135132325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In engineering problems, the concepts of design and optimization are two basic topics that are related to each other. The problem owner should prioritize the design or optimization on each other. In this regard, two different ways can be followed in engineering problems: firstly designing and then optimizing or using optimized parameters in the design process. In this study, the basic design parameters of a capesize bulk carrier for a specific purpose were created and exemplified on a model. The prototype development problem is handled as a multi-criteria optimization problem by creating appropriate and pareto optimal solutions. Parameter Space Investigation method was used to solve this optimization problem, and this method was applied in a program called Multi-criteria Optimization Vector Identification. As a result of the study, the design parameters of the capesize bulk carrier sample were created and the objective function criteria were obtained better than the prototype and the value in the literature.
{"title":"Multi-criteria analysis of capesize bulk carrier design optimization model","authors":"Cansu Aksu, Ramazan Yaman","doi":"10.4274/jems.2023.77045","DOIUrl":"https://doi.org/10.4274/jems.2023.77045","url":null,"abstract":"In engineering problems, the concepts of design and optimization are two basic topics that are related to each other. The problem owner should prioritize the design or optimization on each other. In this regard, two different ways can be followed in engineering problems: firstly designing and then optimizing or using optimized parameters in the design process. In this study, the basic design parameters of a capesize bulk carrier for a specific purpose were created and exemplified on a model. The prototype development problem is handled as a multi-criteria optimization problem by creating appropriate and pareto optimal solutions. Parameter Space Investigation method was used to solve this optimization problem, and this method was applied in a program called Multi-criteria Optimization Vector Identification. As a result of the study, the design parameters of the capesize bulk carrier sample were created and the objective function criteria were obtained better than the prototype and the value in the literature.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135131287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nurten Vardar, Bülent Bayram, Amit Mishra, Mihai Palade, Bekir Şener, Ines Boujmil, Jeremy Scerri, Andre Attard, İskender Demir
This project aims to provide a novel and compact pollution detection, monitoring, and analysis system architecture to monitor marine fields and detect different types of marine pollution that includes hardware and software components. The system will mainly consist of a Shore Control Centre (SCC) and unmanned surface vessels, both equipped with multi-sensor technology and artificial intelligence-based solutions. The SCC will play a key role as a central network hub of the system.
{"title":"Autonomous Network System with Specialized and Integrated Multi-Sensor Technology for Dynamic Monitoring of Marine Pollution (SMARTPOL)","authors":"Nurten Vardar, Bülent Bayram, Amit Mishra, Mihai Palade, Bekir Şener, Ines Boujmil, Jeremy Scerri, Andre Attard, İskender Demir","doi":"10.4274/jems.2023.61687","DOIUrl":"https://doi.org/10.4274/jems.2023.61687","url":null,"abstract":"This project aims to provide a novel and compact pollution detection, monitoring, and analysis system architecture to monitor marine fields and detect different types of marine pollution that includes hardware and software components. The system will mainly consist of a Shore Control Centre (SCC) and unmanned surface vessels, both equipped with multi-sensor technology and artificial intelligence-based solutions. The SCC will play a key role as a central network hub of the system.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135200010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Since its inception, the coronavirus pandemic has caused serious social, economic, and health problems around the world. Seafarers have been identified as key workers in mitigating the negative impact of the coronavirus on global trade and ensuring the delivery of medical and hygiene supplies to regions in need. However, the complete closure policies implemented by certain countries have led to prolonged periods on board for seafarers with expired contracts and economic hardship for those unable to join new assignments. Seafarers who spend long periods on board a ship must deal with issues that may affect their psychological state. Therefore, it is important to identify the factors that cause seafarers to experience psychological distress and to develop relevant strategies to address them. The aim of this study was to determine the association between seafarers’ fear of coronavirus disease-2019 (COVID-19) and psychological distress including symptoms of anxiety, depression, and stress. The questionnaire used the fear of COVID-19 Scale and the expression, Anxiety and Stress Scale), which have strong psychometric properties. Data were collected from 425 qualified seafarers working on international merchant ships and analyzed by structural equation modeling using AMOS-24. The results indicate that seafarers’ fear of COVID-19 is positively associated with symptoms of anxiety and stress but not with depression. Maritime companies, sectoral organizations, and policymakers should collaborate to reduce these associations among seafarers. A unified management approach improved access to health services, and regular mental health assessments can be effective solutions.
{"title":"Fear of COVID-19 in Seafarers: Association with Psychological Distress","authors":"Arda Toygar, U. Yıldırım","doi":"10.4274/jems.2023.58966","DOIUrl":"https://doi.org/10.4274/jems.2023.58966","url":null,"abstract":"Since its inception, the coronavirus pandemic has caused serious social, economic, and health problems around the world. Seafarers have been identified as key workers in mitigating the negative impact of the coronavirus on global trade and ensuring the delivery of medical and hygiene supplies to regions in need. However, the complete closure policies implemented by certain countries have led to prolonged periods on board for seafarers with expired contracts and economic hardship for those unable to join new assignments. Seafarers who spend long periods on board a ship must deal with issues that may affect their psychological state. Therefore, it is important to identify the factors that cause seafarers to experience psychological distress and to develop relevant strategies to address them. The aim of this study was to determine the association between seafarers’ fear of coronavirus disease-2019 (COVID-19) and psychological distress including symptoms of anxiety, depression, and stress. The questionnaire used the fear of COVID-19 Scale and the expression, Anxiety and Stress Scale), which have strong psychometric properties. Data were collected from 425 qualified seafarers working on international merchant ships and analyzed by structural equation modeling using AMOS-24. The results indicate that seafarers’ fear of COVID-19 is positively associated with symptoms of anxiety and stress but not with depression. Maritime companies, sectoral organizations, and policymakers should collaborate to reduce these associations among seafarers. A unified management approach improved access to health services, and regular mental health assessments can be effective solutions.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46662744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cargo unloading operations on bulk carriers are critical shipboard operations. Many tasks are expected to fulfill by the ship’s personnel to safely complete this type of operation. However, many human errors may occur during this process, and this situation threatens the safety of life and property. In this respect, this study predicts potential human errors and probabilities that may occur during cargo unloading operations on bulk carrier ships. In this study, an integrated human error prediction approach is proposed using interval type 2 fuzzy sets and the success likelihood index method. Thus, within the scope of this study, a model was obtained that allows human errors to be evaluated both qualitatively and quantitatively. Because of the analyzes made, it has been found that the most common human errors that occur while unloading cargo operations on bulk carriers occur in the processes of following the ballast operation and performing the tasks to prevent excessive trim/list formation on board ship, respectively. In addition, it was concluded that the factors that most shape the performance of the ship’s personnel are education, communication, and experience.
{"title":"Estimation of Human Errors During Cargo Unloading Operations on Bulk Carriers Using SLIM and Interval Type 2 Fuzzy Sets","authors":"Ahmet Lutfi Tunçel, Pelin Erdem, Osman Turan","doi":"10.4274/jems.2023.92260","DOIUrl":"https://doi.org/10.4274/jems.2023.92260","url":null,"abstract":"Cargo unloading operations on bulk carriers are critical shipboard operations. Many tasks are expected to fulfill by the ship’s personnel to safely complete this type of operation. However, many human errors may occur during this process, and this situation threatens the safety of life and property. In this respect, this study predicts potential human errors and probabilities that may occur during cargo unloading operations on bulk carrier ships. In this study, an integrated human error prediction approach is proposed using interval type 2 fuzzy sets and the success likelihood index method. Thus, within the scope of this study, a model was obtained that allows human errors to be evaluated both qualitatively and quantitatively. Because of the analyzes made, it has been found that the most common human errors that occur while unloading cargo operations on bulk carriers occur in the processes of following the ballast operation and performing the tasks to prevent excessive trim/list formation on board ship, respectively. In addition, it was concluded that the factors that most shape the performance of the ship’s personnel are education, communication, and experience.","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48286932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Serkan Kahraman, D. Deveci, Ibrahim Oztura, Dilara Mermi Dibek
{"title":"Neuroscience Approach to Situational Awareness: A Research on Marine Navigation","authors":"Serkan Kahraman, D. Deveci, Ibrahim Oztura, Dilara Mermi Dibek","doi":"10.4274/jems.2023.67699","DOIUrl":"https://doi.org/10.4274/jems.2023.67699","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43328057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Protecting Intellectual Capital at Sea","authors":"S. Nas","doi":"10.4274/jems.2023.67299","DOIUrl":"https://doi.org/10.4274/jems.2023.67299","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70885991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Volatility Transmission Between Container and Dry Bulk Freight Markets During the COVID-19 Pandemic","authors":"Reha Memişoğlu, S. Sigali","doi":"10.4274/jems.2023.66487","DOIUrl":"https://doi.org/10.4274/jems.2023.66487","url":null,"abstract":"","PeriodicalId":41280,"journal":{"name":"Journal of Eta Maritime Science","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42931070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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